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85 results on '"Sun, Shining"'

1. Cooperative Optimization of Grid-Edge Cyber and Physical Resources for Resilient Power System Operation

Author

Huo, Xiang, Sun, Shining, Haque, Khandaker Akramul, Homoud, Leen Al, Goulart, Ana E., and Davis, Katherine R.

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

The cooperative operation of grid-edge power and energy resources is crucial to improving the resilience of power systems during contingencies. However, given the complex cyber-physical nature of power grids, it is hard to respond timely with limited costs for deploying additional cyber and/or phyiscal resources, such as during a high-impact low-frequency cyber-physical event. Therefore, the paper examines the design of cooperative cyber-physical resource optimization solutions to control grid-tied cyber and physical resources. First, the operation of a cyber-physical power system is formulated into a constrained optimization problem, including the cyber and physical objectives and constraints. Then, a bi-level solution is provided to obtain optimal cyber and physical actions, including the reconfiguration of cyber topology (e.g., activation of communication links) in the cyber layer and the control of physical resources (e.g., energy storage systems) in the physical layer. The developed method improves grid resilience during cyberattacks and can provide guidance on the control of coupled physical side resources. Numerical simulation on a modified IEEE 14-bus system demonstrates the effectiveness of the proposed approach.

Published
2025

2. A Reinforcement Learning Engine with Reduced Action and State Space for Scalable Cyber-Physical Optimal Response

Author

Sun, Shining, Haque, Khandaker Akramul, Huo, Xiang, Homoud, Leen Al, Hossain-McKenzie, Shamina, Goulart, Ana, and Davis, Katherine

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Numerous research studies have been conducted to enhance the resilience of cyber-physical systems (CPSs) by detecting potential cyber or physical disturbances. However, the development of scalable and optimal response measures under power system contingency based on fusing cyber-physical data is still in an early stage. To address this research gap, this paper introduces a power system response engine based on reinforcement learning (RL) and role and interaction discovery (RID) techniques. RL-RID-GridResponder is designed to automatically detect the contingency and assist with the decision-making process to ensure optimal power system operation. The RL-RID-GridResponder learns via an RL-based structure and achieves enhanced scalability by integrating an RID module with reduced action and state spaces. The applicability of RL-RID-GridResponder in providing scalable and optimal responses for CPSs is demonstrated on power systems in the context of Denial of Service (DoS) attacks. Moreover, simulations are conducted on a Volt-Var regulation problem using the augmented WSCC 9-bus and augmented IEEE 24-bus systems based on fused cyber and physical data sets. The results show that the proposed RL-RID-GridResponder can provide fast and accurate responses to ensure optimal power system operation under DoS and can extend to other system contingencies such as line outages and loss of loads.

Published
2024

3. A De-noising Method of Difference Pattern based on Combined Filtering Algorithm

Author

Mao, Dongwei, Meng, Ping, Sun, Shining, Huang, Anzhen, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, and Fu, Song, editor

Published
2024
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26. A Hybrid Structure Design of Broadband band-pass MEFSS and FSS

Author

Sun Shining, Liu Xiaochun, Deng Jinshan, Zhang Xiaohong, and Pang Xiaoyu

Subjects
Materials science, Band-pass filter, Acoustics, Bandwidth (signal processing), Broadband, Structure design, Tunable metamaterials
Abstract

Miniaturized element frequency selective surface (MEFSS) design technology is one of the research hotspots in recent years, the application space of frequency selective surface (FSS) has been expanded, especially in low-frequency applications, surface shaping applications and other fields. In this paper, we provide a design of MEFSS unit and loaded on the dual screen FSS. Compared with the original dual screen FSS, the simulation results shows that the hybrid structure with loading MEFSS present a wider bandwidth, giving faster roll off in sidebands, and the cut-off is obviously improved, it also can ensure insensitivity to incident angle variation and polarization.

Published
2020
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29. Multiprocess Malware

Author

Ramilli, Marco, Bishop, Matt, and Sun, Shining

Abstract

Malware behavior detectors observe the behavior of suspected malware by emulating its execution or executing it in a sandbox or other restrictive, instrumented environment. This assumes that the process, or process family, being monitored will exhibit the targeted behavior if it contains malware. We describe a technique for evading such detection by distributing the malware over multiple processes. We then present a method for countering this technique, and present results of tests that validate our claims.

Published
2011

42. Pattern conversion prediction about low water content water-oil flow based on terahertz time domain spectroscopy

Author

Aifan Wang, Kun Zhao, Wei Wang, Yunfei Wei, Sun Shining, He Hao, and Chen Shaohua

Subjects
Terahertz radiation, Chemistry, Flow (psychology), Analytical chemistry, Time domain, Critical ionization velocity, Spectroscopy, Terahertz time-domain spectroscopy, Water content, Volumetric flow rate
Abstract

This paper aims at presenting an approach for the experimental flow pattern conversion prediction. The water-diesel mixture flowed in the horizontal square tube with water contents of 0, 0.7%, 1.5%, 2.0% and 2.3%, respectively. After the mixture flowed steadily, the sample cell, in horizontal direction, was transmitted by the terahertz radiation and the terahertz time domain spectra were obtained for all the water-diesel mixtures. There is a critical velocity VT to all of the mixtures. If the flow rate is slower than VT, the mixtures flow with water bubbly pattern, however, the mixtures will flow with the water foggy pattern and the loss of the THz ray increased rapidly when the rate is faster than VT. Consequently, the mixture pattern conversion can be predicted by detecting the turning point of the THz ray loss.

Published
2015
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48. Abstract 283: Association of Body Mass Index with Outcomes in Patients with Atrial Fibrillation: Results From the ORBIT-AF Registry

Author

Pandey, Ambarish, primary, Gersh, Bernard, additional, McGuire, Darren, additional, Shrader, Peter, additional, Thomas, Laine, additional, Kowey, Peter R, additional, Mahaffey, Kenneth W, additional, Hylek, Elaine, additional, Sun, Shining, additional, Burton, Paul, additional, Piccini, Jonathan, additional, Peterson, Eric, additional, and Fonarow, Gregg, additional

Published
2015
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